Triton
4 statements across 4 episodes · 2 bullish · 2 bearish · 4 people on the record · first statement Oct 20, 2023 by Jeremy Howard · said 27 times in 8 episodes since 2023 · across every show →
Mentions by year
brought up most by Quentin Anthony (14), Dylan Patel (4), Jeremy Howard (3), Diego Bachman (2), Yining Zhang (1), George Hotz (1), Chris Lattner (1), Batuhan Taskaya (1)
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2025 19 mentions in 5 episodes 4 per episode
- How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- ⚡️ Beyond Transformers with Power Retention
- A Technical History of Generative Media
- The Shape of Compute (Chris Lattner of Modular)
- DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
- every mention in 2025, scene by scene →
Everything said about Triton, oldest first
Oct 20, 2023 bullish
Howard: Mojo-like languages will unlock thousands of FlashAttention-scale breakthroughs
“There is a thousand flash attentions out there for us to build. You just got to make it easy for us to build them. So like Triton definitely helps. But it's still, Not easy. You know, it still requires kind of really understanding the VPU architecture, writing…”
Dec 5, 2023 bullish
Sep 23, 2025 negative
Bachman: Manifest Switched Power Retention from Triton to Custom CUDA
“Actually, our initial version of power retention was written in Triton, but we realized quickly that it just didn't offer the flexibility to really squeeze the performance that we wanted out of the GPU. So we took a step back and dove into CUDA.”
Nov 3, 2025 negative
AI coding assistants degrade quickly on low-level CUDA and PTX code
“Getting Below Triton or level or anything else down to like CUDA or below there's orders of magnitude less public good kernels at that level. And I think that really shows and models capabilities. So when I try and get a model to do something in CUDA or PTX or…”